very classic genetic algorithm tool kit version of the C language. Including com...

用Java编的人工智能的归结反演算法-Java series attributed to the anti-artificial intelligence algorithms

这是蚁群算法的一个模拟的软件,可以看到整个蚁群觅食的具体过程,对算法的理解很有帮助.-This is the ant colony algorithm, a simulation software, can see the whole ant colony foraging specific process, the understanding of the algorithm very helpful.

混合生源 加工-Mixed biogenic processing

单神经元pid源码实现，对初学的朋友很有帮助-The program can realize single neural pid with MATLAB.The algorithm is simple and easy to understand.

简单一元函数优化实例，利用遗传算法计算下面函数的最大值-One dollar a simple example of function optimization using genetic algorithm function below the maximum

Principles of Data Mining是数据挖掘领域里面又一本经典的教材，呵呵，希望对大家有帮助-Principles of Data Mining is a data mining inside another in this classic textbook, Oh, you want to help

改进遗传算法－郭涛算法做最优化问题很管用,算法的基本思想是 先任意产生n个随机数，然后从n个数里随机选择m个数，再有这m个 数合成一个新数，将这个新数同n个数中间适应值函数值的最差的比较， 如果好的话就取代最差的那个，如果它比最好的还要好的话，则把最好的 也取代。如果比最差的坏，则重新合成一个新数。依次循环下去。 程序的奇妙之处是GA_crossover()函数，产生的新数确实比较好，看看 那位大侠能改进一下，产生比这跟好的数。-improved genetic algorithm- Guo Tao done optimization algorithm is very effective, and the algorithm is the first basic idea arbitrary n generated random number and then the number li n m randomly selected number, and this number m of a new synthesis of the new middle with n number fitness function of the worst by comparison, if a good case to replace the worst, um, if it even than the best, then ruled the best have replaced. If worse than the worst, a de novo synthesis of new. Followed by the cycle continues. The magic of procedures is GA_crossover () function, the new really good to see heroes who can be improved upon, it generated more than a few with a good.

最短路算法：基于遗传算法的一种最短路的MATLAB程序。-Shortest Path Algorithm: Genetic Algorithm Based on one of the most short-circuit the MATLAB program.

这是一本详细介绍遗传算法理论，及其在工程方面应用的书籍，书中包含许多实例，实在是不可多得的经典之书-This is a detailed theory of genetic algorithm and its applications in engineering books, the book contains many examples, it is rare classic book

多目标优化问题，此例中经遗传算法优化子代个体数目逐步减少，最后稳定在10个染色体个体-Multi-objective optimization problem, in this case, by the genetic algorithm to gradually reduce the number of offspring individuals, and finally stabilized at 10 chromosome individual